Dynamic Monitoring and Spatiotemporal Analysis of Soil Erosion in Changting County, Fujian Province from 2005 to 2025

Abstract. Soil erosion is a major ecological problem in the red-soil hilly region of southern China. This study investigates Changting County, Fujian Province, utilizing multi-temporal remote sensing imagery from 2005 to 2025 and the RUSLE model to estimate soil erosion. A soil erosion intensity transition matrix was constructed, and global and local Moran's I indices were employed to reveal the spatiotemporal evolution patterns of erosion clustering. The results show that in 2005 the area of eroded decreased from 527.74 km² (17.00% of the county area) to 202.99 km² (6.54%) in 2025. The area affected by moderate or higher levels of erosion decreased from 230.08 km² to 107.17 km², while the area affected by severe or higher levels of erosion decreased from 79.86 km² to 26.65 km². The development of soil erosion showed a gradual downward trend. The spatial autocorrelation analysis also revealed a significant clustering of improved and deteriorated areas. The improved areas accounted for 88.47% of the entire county, while deterioration was mainly concentrated in construction sites, transportation corridors, and surrounding mining areas. These results provide scientific basis for the key protection planning and monitoring of the red soil hilly areas, combined with long-term remote sensing monitoring.

Authors

Publication Details

Journal
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Published
2026-07-30
DOI
https://doi.org/10.5194/isprs-archives-xlix-b3-2026-1015-2026
Primary Topic
Soil erosion and sediment transport
Type
article
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article

Dynamic Monitoring and Spatiotemporal Analysis of Soil Erosion in Changting County, Fujian Province from 2005 to 2025

Xiaonan Niu, Huan Ni, Leli Zong, Yanwei Sun et al.
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Soil erosion and sediment transport
article

Dynamic Monitoring and Spatiotemporal Analysis of Soil Erosion in Changting County, Fujian Province from 2005 to 2025

Xiaonan Niu, Huan Ni, Leli Zong, Yanwei Sun, Hongying Liu, Xiaodong Zhang, Yi Liu
article en

Abstract

Abstract. Soil erosion is a major ecological problem in the red-soil hilly region of southern China. This study investigates Changting County, Fujian Province, utilizing multi-temporal remote sensing imagery from 2005 to 2025 and the RUSLE model to estimate soil erosion. A soil erosion intensity transition matrix was constructed, and global and local Moran's I indices were employed to reveal the spatiotemporal evolution patterns of erosion clustering. The results show that in 2005 the area of eroded decreased from 527.74 km² (17.00% of the county area) to 202.99 km² (6.54%) in 2025. The area affected by moderate or higher levels of erosion decreased from 230.08 km² to 107.17 km², while the area affected by severe or higher levels of erosion decreased from 79.86 km² to 26.65 km². The development of soil erosion showed a gradual downward trend. The spatial autocorrelation analysis also revealed a significant clustering of improved and deteriorated areas. The improved areas accounted for 88.47% of the entire county, while deterioration was mainly concentrated in construction sites, transportation corridors, and surrounding mining areas. These results provide scientific basis for the key protection planning and monitoring of the red soil hilly areas, combined with long-term remote sensing monitoring.

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciencesVol. XLIX-B3-2026
Life in Land
Openalex Percentile: Top 12%
Soil erosion and sediment transport
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